orca.transform.spectrum_v2
==========================

.. py:module:: orca.transform.spectrum_v2

.. autoapi-nested-parse::

   Improved dynamic spectrum helpers (version 2).

   Enhanced dynamic spectrum extraction with:
   * Read-only measurement set access
   * Proper MS FLAG column handling
   * Support for bcal=None (no calibration)
   * 4x frequency averaging (192 → 48 channels)



Attributes
----------

.. autoapisummary::

   orca.transform.spectrum_v2.logger
   orca.transform.spectrum_v2.N_CHAN_OUT
   orca.transform.spectrum_v2.REDIS_URL
   orca.transform.spectrum_v2.REDIS_EXPIRE_S
   orca.transform.spectrum_v2.REDIS_KEY_PREFIX
   orca.transform.spectrum_v2.ROW_NUMS


Functions
---------

.. autoapisummary::

   orca.transform.spectrum_v2.dynspec_map_v2
   orca.transform.spectrum_v2.dynspec_reduce_v2


Module Contents
---------------

.. py:data:: logger

.. py:data:: N_CHAN_OUT
   :value: 48


.. py:data:: REDIS_URL

.. py:data:: REDIS_EXPIRE_S
   :value: 36000


.. py:data:: REDIS_KEY_PREFIX
   :value: 'spec-v2-'


.. py:data:: ROW_NUMS
   :value: [('LWA-128&LWA-160', 54282), ('LWA-048&LWA-051', 33335), ('LWA-018&LWA-237', 30360),...


.. py:function:: dynspec_map_v2(self, subband_no: int, scan_no: int, ms: str, *, bcal: str = None, use_ms_flags: bool = True)

   Produce incoherent-sum + selected-baseline spectra from a **single** MS.

   * Uses FLAG column to mask samples (→ NaN).
   * If `bcal` is None ⇒ unity gains.


.. py:function:: dynspec_reduce_v2(spectra: Iterable[List[_SnapshotSpectrumV2]], start_ts: datetime.datetime, out_dir: str) -> None

   Assemble per-scan lists from `dynspec_map_v2` into 768-freq FITS cubes.
   Safe against missing Redis keys / malformed blobs.